Is Lovable, Bolt, or Cursor more secure for production?

None of them is meaningfully more secure by default. All three ship the same insecure defaults: weak server-side auth, RLS left off, secrets in the client bundle, and no tests. Cursor is more controllable because it runs in your existing repo under an engineer's review, but its output still needs the same auth, RLS, secrets, and payment hardening as Lovable and Bolt.

Can I ship a Lovable or Bolt app to real users without changes?

No, not safely. Lovable and Bolt commonly run on Supabase, where row-level security is off by default, so one user can often read another user's data by changing an ID in a request. Enable RLS on every table, tie ownership to auth.uid(), and validate payments server-side before launch.

Why do AI-built apps leak API keys?

To make a Stripe or OpenAI call work from the browser, the tool adds a NEXT_PUBLIC_ or VITE_ prefix to the key, which compiles it straight into the JavaScript bundle every visitor downloads. It is one of the most common findings in AI-built apps. Move every secret server-side and rotate anything that was ever exposed in the bundle or git history.

What do I have to fix before a vibe-coded app is production-ready?

The recurring five: server-enforced authentication on every protected route, row-level security on every user-data table, no secrets in the client bundle, server-side payment and webhook validation, and tests on the auth, data, and payment paths. DappaSol's Week-1 build audit ($4,000, fixed price) finds all of them with a written guarantee: we find every blocker or the audit is free.

Is Cursor safe to use?

Cursor is safe to build with if you treat its output as a draft and lock down the tool itself. Its generated code can miss auth checks, leak keys, or skip validation like any AI assistant, and Cursor reads and acts on your repo, so its trust and rules settings are part of your attack surface. Audit both the code it writes and your Cursor configuration before anything reaches production.

Lovable vs Bolt vs Cursor for Production (2026)

Lovable, Bolt, and Cursor all get you a working demo in hours, but none ship production-secure by default. The gaps cluster the same way every time: missing server-side auth, Supabase row-level security left off, secrets in the browser bundle, no real payment validation, and no tests. The tool you pick barely changes that.

You are choosing between Lovable, Bolt, and Cursor for a real product, not a weekend toy. Here is the honest version: the tool you pick barely changes your security outcome. All three reach a working demo fast, and all three tend to ship the same insecure defaults underneath. The real question is not “which tool is safe,” it is “what do I still have to fix before paying users show up.”

Scoring table: Lovable vs Bolt vs Cursor for production

Scores below reflect what each tool produces by default, before any hardening pass. “OK” means the tool scaffolds something usable but you still own the security decision. “Weak” means it routinely ships an insecure default. None of this is a knock on the tools. They are prototype tools doing exactly what they are built to do.

Concern	Lovable	Bolt	Cursor	What you still have to fix to ship
Auth (server-enforced)	Weak	Weak	OK	Confirm every protected route checks auth on the server, not just in the UI. Hidden buttons are not access control. The API still answers if called directly.
RLS / data security	Weak	Weak	OK	Enable row-level security on every table holding user data and write a policy per role. On Supabase backends this is off by default and is the first thing to check.
Exposed secrets / API keys	Weak	Weak	Weak	Grep for `NEXT_PUBLIC_` and `VITE_`. Move every secret server-side. Rotate any key that ever touched git history or the browser bundle.
Payments readiness	Weak	Weak	OK	Validate price and ownership on the server. Verify webhook signatures. Never trust an amount or a success flag sent from the client.
Testability	Weak	Weak	OK	There are usually no tests. Add coverage on auth, data access, and payment paths before you ship, then before every change after.

Cursor scores a notch higher in a few rows for one reason: it is an editor inside your existing codebase, so a competent engineer drives it and reviews every diff. Lovable and Bolt generate a whole app from a prompt, which means the insecure default ships unless someone goes looking. That is a workflow difference, not a safety guarantee. Cursor’s output carries the same risks, and the tool itself is one more thing to lock down (more on that below).

Where each tool actually leaks

Lovable and Bolt: Supabase RLS left off

Lovable and Bolt commonly build their backends on Supabase, which is Postgres with an auto-generated REST API reachable straight from the browser using the public anon key. The only thing between a stranger and your database is row-level security, and on tables created through the API, RLS is off by default. That means a logged-in user can often read or change another user’s rows just by editing an ID in a request. The fix is mechanical but easy to skip: enable RLS on every table, tie ownership to auth.uid(), write a policy per role, and keep the service_role key out of all client code. See Supabase RLS hardening for Lovable and Bolt and Lovable security vulnerabilities for the full pass.

Cursor: insecure output plus tool-level attack surface

Cursor is fast and the code runs, but “works on my machine” and “safe to ship” are different bars. The code an AI assistant writes can still miss auth checks, leak keys, or skip input validation, so you review it like any other draft. And Cursor is itself a tool that reads your repo and acts on it, so its trust and rules settings are part of your attack surface too. You audit two layers: the code Cursor generates and the configuration of Cursor itself. The detail is in Is Cursor safe?

All three: secrets in the browser bundle

Every AI tool leaks keys the same way. To make a Stripe or OpenAI call “just work” from the frontend, the build complains the variable is undefined in the browser, and the fastest fix is to add a public prefix. The AI does exactly that, and now your secret sits in plain text inside the shipped JavaScript, downloadable by every visitor. This is one of the most common findings in AI-built apps and one of the fastest to check. Walk through exposed API keys in AI-built apps to find yours in about ten minutes.

So which one should you pick?

Pick on the job, not on safety, because safety is your job either way:

Cursor if you have an engineer who will own and review the codebase. It is the most controllable, and it slots into a real repo with real tests.
Lovable or Bolt if you want a full app from a prompt and you accept that the backend, auth, RLS, and payments need a hardening pass before launch. The two are close enough that the choice usually comes down to which UI and workflow you prefer.

Whichever you choose, the prototype is not the product. The demo works because the happy path works. Production breaks the moment someone opens the network tab, edits an ID in a URL, or replays a webhook. The honest reading of all three: good for getting to a demo, not safe to put in front of paying customers unchanged.

The next step: harden it before real users do the testing for you

This is the work DappaSol does. Senior engineers only, no juniors. We start with a fixed-price Week-1 build audit at $4,000 that finds every blocker (auth, RLS, exposed keys, payment validation, missing tests), with a working demo before each payment. Full hardening runs from $14,000, fixed price, versus the $60k-plus and an open hourly meter you get at a typical US or UK agency. If you just want to know how exposed you are first, the production-readiness guide and the free self-audit tool are a fast start, and the first 15-minute code security audit is free. You get the guarantee in writing: we find every blocker or the audit is free, fixed price up front, and 100% code and IP transferred from day one. See what we have shipped, or read fix or rebuild your vibe-coded app if you are not sure how far gone it is.